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    SDM
    2010
    SIAM
    144views Data Mining» more  SDM 2010»
    Predictive Modeling with Heterogeneous Sources
    13 years 10 months ago
    Predictive Modeling with Heterogeneous Sources
    Download  www.cs.uic.edu
    Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
    Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    13 years 10 months ago
    Learning Markov Network Structure using Few Independence Tests
    Download  www.cs.cmu.edu
    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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    SDM
    2004
    SIAM
    212views Data Mining» more  SDM 2004»
    Clustering with Bregman Divergences
    13 years 10 months ago
    Clustering with Bregman Divergences
    Download  jmlr.csail.mit.edu
    A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
    Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
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    SDM
    2004
    SIAM
    165views Data Mining» more  SDM 2004»
    Visualizing RFM Segmentation
    13 years 10 months ago
    Visualizing RFM Segmentation
    Download  www.cs.iastate.edu
    Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
    Ron Kohavi, Rajesh Parekh
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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    13 years 10 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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